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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： S.H. Kwon H.C. Kim C.W. Oh Interdisciplinary Program of Medical and Biological Engineering Graduate School College of Medicine Seoul National University South Korea Department of Biomedical Engineering College of Medicine Seoul National University South Korea Department of Neurosurgery College of Medicine Seoul National University South Korea

A computerized system composed of neurostimulator and EMG signal acquisition and real-time analysis system has been developed to be used for selective posterior rhizotomy. As a preliminary study for the clinical application of the developed system, we performed a series of animal experiments using cats. From the results of in vivo application, we verified the basic system performance and found that latency, amplitude variance and waveform variance are useful parameters to differentiate sensory nerve from motor nerve. The underlying mechanisms of these phenomena were also provided. These findings were utilized in establishing the objective criterion in nerve selection for selective posterior rhizotomy.

关键词： In vivo Electromyography Pulse amplifiers Signal analysis Space vector pulse width modulation Neurosurgery Animals Extremities Voltage biomedical engineering

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Contributory presentations/posters

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Journal of Biosciences 1999年第1期24卷 33-198页

作者： N. Manoj V. R. Srinivas A. Surolia M. Vijayan K. Suguna R. Ravishankar R. Schwarzenbacher K. Zeth Diederichs G. M. Kostner A. Gries P. Laggner R. Prassl Madhusudan Pearl Akamine Nguyen-huu Xuong Susan S. Taylor M. Bidva Sagar K. Saikrishnan S. Roy K. Purnapatre P. Handa U. Varshney B. K. Biswal N. Sukumar J. K. Mohana Rao A. Johnson Vasantha Pattabhi S. Sri Krishna Mira Sastri H. S. Savithri M. R. N. Murthy Bindu Pillai Kannan M. V. Hosur Mukesh Kumar Swati Patwardhan K. K. Kannan B. Padmanabhaa S. Sasaki-Sugio M. Nukaga T. Matsuzaki S. Karthikevan S. Sharma A. K. Sharma M. Paramasivam P. Kumar J. A. Khan S. Yadav A. Srinivasan T. P. Singh S. Gourinath Neelima Alam A. Srintvasan Vikas Chandra Punit Kaur Ch. Betzel S. Ghosh A. K. Bera S. Bhattacharya S. Chakraborty A. K. Pal B. P. Mukhopadhyay I. Dey U. Haldar Asok Baneriee Jozef Sevcik Adriana Solovicova K. Sekar M. Sundaralingam N. Genov Dong-cai Liang Tao Jiang Ji-ping Zhang Wen-rui Chang Wolfgang Jahnke Marcel Blommers S. C. Panchal R. V. Hosur Bindu Pillay Puniti Mathur S. Srivatsun Ratan Mani Joshi N. R. Jaganathan V. S. Chauhan H. S. Atreya S. C. Sahu K. V. R. Chary Girjesh Govil Elisabeth Adjadj Éric Quinjou Nadia Izadi-Pruneyre Yves Blouquit Joël Mispelter Bernadette Heyd Guilhem Lerat Philippe Milnard Michel Desmadreil Y. Lin B. D. Nageswara Rao Vidva Raghunathan Mei H. Chau Prashant Pesais Sudha Srivastava Evans Coutinho Anil Saran Leizl F. Sapico Jayson Gesme Herbert Lijima Raymond Paxton Thamarapu Srikrishnan C. R. Grace G. Nagenagowda A. M. Lynn Sudha M. Cowsik Sarata C. Sahu S. Chauhan A. Bhattacharya G. Govil Anil Kumar Maurizio Pellecchia Erik R. P. Zuiderweg Keiichi Kawano Tomoyasu Aizawa Naoki Fujitani Yoichi Hayakawa Atsushi Ohnishi Tadayasu Ohkubo Yasuhiro Kumaki Kunio Hikichi Katsutoshi Nitta V. Rani Parvathy R. M. Kini Takumi Koshiba Yoshihiro Kobashigawa Min Yao Makoto Demura Astushi Nakagawa Isao Tanaka Kunihiro Kuwajima Jens Linge Seán O. Donoghue Michael Nilges G. Chakshusmathi Girish S. Ratnaparkhi P. K. Madhu R. Varadarajan C. Tetreau Molecular Biophysics Unit Indian Institute of Science Bangalore India Austrian Academy of Sciences Institute of Biophysics and X-ray Structure Research Graz Austria Faculty of Biology University of Konstanz Germany Institute of Medical Biochemistry University of Graz Austria Howard Huges Medical Institute Department of Chemistry & Biochemistry University of California La Jolla USA Department of Chemistry & Biochemistry University of California San Diego La Jolla USA Molecular Biophysics Unit India Department of Microbiology &Cell Biology Indian Institute of Science Bangalore India Macromolecular Structure Laboratory NCI - Frederick Cancer Research and Development Center ABL - Basic Research Program Frederick USA Department of Crystallography and Biophysics University of Madras Chennai Biochemistry Department Indian Institute of Science Bangalore India Condensed Matter Physics Division B.A.R.C. Trombay Mumbai Condensed Matter Physics Division Bhabha Atomic Research Centre Trombay Mumbai IMCB The University of Tokyo Tokyo Japan Mitsubishi Chemical Corporation Yokohama Research Center Yokohama Japan Faculty of Pharmaceutical Sciences Chiba University Chiba Japan Department of Biophysics All India Institute of Medical Sciences New Delhi India Department of Biophysics All India Institute of Medical sciences New Delhi India Institüt Physiologische Chemie Hamburg Germany Biophysics Department Bose Institute Calcutta India Slovak Academy of Sciences Institute of Molecular Biology Bratislava Slovakia Indian Institute of Science Bioinformatics Centre Bangalore Departments of Chemistry and Biochemistry Biological Macromolecular Structure Center USA Bulgarian Academy of Sciences Institute of Organic Chemistry Sofia Bulgaria Chinese Academy of Sciences Institute of Biophysics Beijing China Novartis Pharma AG Preclinical Research Basel Switzerland Department of Chemical Sciences Tata Institute of Fundamental Research Mumbai India Solid State Physics Div

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Non-rigid image alignment for layered cell representation and motion tracking

Non-rigid image alignment for layered cell representation an...

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Annual Northeast Bioengineering Conference

作者： S. Shemlon S. Hawkins Graduate Program in Biomedical Informatics SHRP Newark NJ USA Department of Biomedical Engineering Rutgers University Piscataway NJ USA

Mathematical modeling of the dynamic behavior of physical systems, gives computers that mimic the capabilities to intelligently monitor and predict their evolutionary characteristics. In this paper, we present a system for tracking the time-varying features of non-rigid objects in images of evolving scenes, using the elastic string model of planar contours, which permits the inference and prediction of the quantitative parameters that characterize evolutionary behavior. The goal of our work is to dynamically track non-rigid objects in video sequences, using object alignment techniques based on the properties of the elastic string. We present experimental results of growth cone and neurite tracking in cell growth and motion studies.

关键词： Tracking Deformable models Predictive models Mathematical model biomedical computing Layout Image motion analysis Motion analysis Equations Neurons

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Application of a neural network in recognizing facial expression

Application of a neural network in recognizing facial expres...

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Annual Northeast Bioengineering Conference

作者： B.A. Donohue J.D. Bronzino J.H. DiLiberti D.P. Olson L.R. Schweitzer P. Walsh Biomedical Engineering Program Hartford Graduate Center and Saint Francis Hospital and Medical Center Hartford CT USA

Input to the neural network program consists of facial images from a video source. The program uses the back propagation algorithm to train the network and to classify input data based on the subject's posed facial expression. Training and testing were performed with multiple individuals. The network was trained on a set consisting of 34 happy and 34 sad images from five different subjects. Additionally, the network was tested with images of subjects which were not included in training. In this case, training was performed using 24 happy and 24 sad images of three subjects. Testing was performed using ten happy and ten sad images of two new subjects. In preliminary testing, the network responded correctly for 85% of the 20 test cases. The ability of the network to generalize this discrimination successfully to new individuals is also demonstrated.< >

关键词： Neural networks Intelligent networks Face recognition Humans Time of arrival estimation Pattern recognition biomedical engineering Hospitals biomedical imaging Computed tomography

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Education of clinical engineers in the 1990s

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Journal of Clinical engineering 1990年第3期15卷 185-189页

作者： Bronzino, J.D. Biomedical Engineering Program Trinity College/Hartford Graduate Center Hartford CT United States

This paper presents definitions of the terms bioengineering, biomedical engineering and clinical engineering. These definitions lead to the conclusion that clinical engineers must be individuals with at least a four-year bachelor's degree in an engineering specialty who are also well versed in the design, modification and testing of medical instrumentation. Educational programs for clinical engineers in the 1990s must be based upon clear definitions of these professionals' roles. Clinical engineering education should include direct professional experience obtained through internship programs similar to the program described in this paper.

关键词： biomedical engineering

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The Temporal Characteristics Of The Acoustic Signal Created By Turgulent Blood Flow In Occluded Coronary Arteries

The Temporal Characteristics Of The Acoustic Signal Created ...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A.M. Smith J.L. Serimilow W. Welkowitz J.B. Kostis V. Padmanabhan Noninvasive Coronary Artery Disease Research Project Graduate Program in Biomedical Engineering Rutgers University Piscataway NJ USA Division of Cardiovascular Diseases and Hypertension Robert Wood Johnson University Hospital New Brunswick NJ USA Noninvasive Coronary Artery Disease Research Project Graduate. Program in Biomedical Engineering Rutgers University Piscataway NJ USA

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A NEW DYNAMIC CORROSION TEST FOR DENTAL MATERIALS

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DENTAL MATERIALS 1989年第6期5卷 411-414页

作者： MELETIS, EI GIBBS, CA LIAN, K Louisiana State University Materials Science Engineering Program Mechanical Engineering Department Baton Rouge LA 70803-6413 United States University of California Biomedical Engineering Graduate Group Davis CA 95616 United States

A new laboratory technique has been developed in an effort to simulate the deterioration processes occurring in dental amalgam restorations while they are exposed to attack by the oral environment and simultaneously subjected to biting forces during mastication. This combined mechanical wear and corrosion action may be one of the major contributors to the degradation of dental amalgam restorations. The technique provides the capability of varying and measuring electrochemical and mechanical parameters during a sliding-wear process in a corrosive environment. A high-copper dental amalgam was selected and tested to demonstrate the applicability of the method in evaluating and studying the effects of the combined action of wear and corrosion processes on dental materials. For the particular amalgam material tested in the present study, it was found that sliding-wear significantly lowered its corrosion potential and increased corrosion rates by at least one order of magnitude.

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Neural networks for visual perception in variable illumination

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Optics News 1988年第8期14卷 5-10页

作者： Stephen Grossberg STEPHEN GROSSBERG is a professor of mathematics psychology and biomedical engineering at Boston University where he is also Director of the Center for Adaptive Systems and of the graduate program in Cognitive and Neural Systems. He is the first president of the International Neural Network Society and a co-editor-in-chief of the Society's journal Neural Networks.

No abstract available.

关键词： Illumination Machine vision Networking hardware Neural networks Segmentation Visual perception

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Computer applications for patient care. An overview

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Journal of clinical engineering 1983年第4期8卷 291-296页

作者： Bronzino, J.D. Joint Trinity College /Hartford Graduate Center Biomedical Engineering Program Hartford CT United States

This review outlines the information processing tasks which involve the interaction between the patient and the provider of health care services. These areas include the clinical laboratory, automated multiphasic health testing, medical records, patient monitoring, diagnostic support systems, and medical imaging. Health care professionals, including clinical engineers, must recognize the potential, understand basic principles, and utilize computers effectively during the next decade's rapid advances.

关键词： HEALTH CARE

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The biomedical engineer - The roles he can play

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Science 1971年第4013期174卷 1001-1003页

作者： Bronzino, Joseph D. Biomedical Engineering Program Rensselaer Polytechnic Institute Graduate Center Troy NY United States Department of Engineering Trinity College Hartford CT 06106 United States

The interdisciplinary exposure necessary for these new professionals depends upon their specific roles.

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